ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2006
Assessment of differential item functioning for demographic comparisons in the MOS SF-36 health survey.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed, 81 citations in OpenAlex.
- Exploring differential item functioning in the SF-36 by demographic, clinical, psychological and social factors in an osteoarthritis population.BMC musculoskeletal disorders · 2013Trial
- Race and preference-based health-related quality of life measures in the United States.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2011Trial
- Perioperative and short-term advantages of mini-open approach for lumbar spinal fusion.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2009Trial
- Quantifying PFAS-Omics Burden Scores for Nontargeted Analysis Using Multidimensional Item Response Theory: An Exploratory Analysis of Novel and Legacy PFAS in Cord Blood.Environmental science & technology · 2026Article
- Sex Differences in Patient Reported Outcome Measures after Stroke: What's New and What's Next?Current neurology and neuroscience reports · 2025Review
- Pre-natal and early life lead exposure and childhood inhibitory control: an item response theory approach to improve measurement precision of inhibitory control.Environmental health : a global access science source · 2024Article
- Phthalate mixtures and insulin resistance: an item response theory approach to quantify exposure burden to phthalate mixtures.Journal of exposure science & environmental epidemiology · 2024Article
- Applying Latent Variable Models to Estimate Cumulative Exposure Burden to Chemical Mixtures and Identify Latent Exposure Subgroups: A Critical Review and Future Directions.Statistics in biosciences · 2024Article
- Measurement invariance and adapted preferences: evidence for the ICECAP-A and WeRFree instruments.Health and quality of life outcomes · 2023Article
- Developing an Exposure Burden Score for Chemical Mixtures Using Item Response Theory, with Applications to PFAS Mixtures.Environmental health perspectives · 2022Article
- Examination of the Measurement Equivalence of the Functional Assessment in Acute Care MCAT (FAMCAT) Mobility Item Bank Using Differential Item Functioning Analyses.Archives of physical medicine and rehabilitation · 2022Article
- Selecting Patient-Reported Outcome Measures to Contribute to Primary Care Performance Measurement: a Mixed Methods Approach.Journal of general internal medicine · 2020Review
- Differential item functioning of the SF-12 in a population-based regional joint replacement registry.Health and quality of life outcomes · 2019Article
- Measurement invariance of the SF-12 among different demographic groups: The HELIUS study.PloS one · 2018Article
- Language-related differential item functioning between English and German PROMIS Depression items is negligible.International journal of methods in psychiatric research · 2017Article
- Methodological issues in measuring subjective well-being and quality-of-life: Applications to assessment of affect in older, chronically and cognitively impaired, ethnically diverse groups using the Feeling Tone Questionnaire.Applied research in quality of life · 2017Article
- Latent variable mixture models to test for differential item functioning: a population-based analysis.Health and quality of life outcomes · 2017Article
- Sensitivity of measuring the progress in financial risk protection to survey design and its socioeconomic and demographic determinants: A case study in Rwanda.Social science & medicine (1982) · 2017Article
- Testing whether patients with diabetes and healthy people perceive the meaning of the items in the Persian version of the SF-36 questionnaire similarly: a differential item functioning analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017Article
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Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate whether items of the Medical Outcomes Study (MOS) 36-Item Short-Form Health Status Survey (SF-36) exhibited differential item functioning (DIF) with respect to age, education, race, and gender.
methodsThe data for this study come from two large national datasets, the MOS and the 1990 National Survey of Functional Health Status (NSFHS). We used logistic regression to identify items exhibiting DIF.
resultsWe found DIF to be most problematic for age comparisons. Items flagged for age DIF were vigorous activities, bend/kneel/stoop, bathing or dressing, limited in kind of work, health in general, get sick easier than others, expect health to get worse, felt calm and peaceful, and all four vitality items. Items flagged for education DIF include vigorous activities, health in general, health is excellent, felt calm and peaceful, and been a happy person. Vigorous activities, walk more than a mile, health in general, and expect health to get worse were identified as DIF when comparing African-Americans with whites. No items were identified for gender DIF.
conclusionsWe found several consistent patterns of DIF using two national datasets with different population characteristics. In the current study, the effect of DIF rarely transferred to the scale level. Further research is needed to corroborate these results and determine qualitatively why DIF may occur for these specific items.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.